A lack of quality data leads to poor results. Even with quality data, trained AI tends to produce false positives and is not very good at explaining how it arrived at a certain conclusion, as it lacks the ability to understand context.
For this reason, humans remain a critical part of the equation. They are still needed to fine-tune AI systems and to investigate the alerts, validate and stratify the severity of threats, and determine the best way to remediate an attack.
https://www.scmagazine.com/home/opinion/balancing-ai-with-human-intelligence-in-cybersecurity/
For this reason, humans remain a critical part of the equation. They are still needed to fine-tune AI systems and to investigate the alerts, validate and stratify the severity of threats, and determine the best way to remediate an attack.
https://www.scmagazine.com/home/opinion/balancing-ai-with-human-intelligence-in-cybersecurity/
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